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Technology Digest · 2026 – present
Production AI for a mental-health platform
Role: Sole ML Engineer
>99% of traffic resolved in <100 ms
~99.7% crisis-detection accuracy
5.4× cheaper than external APIs
The problem
Sole ML engineer on a safety-critical product with zero ML infrastructure, where a wrong answer has real consequences.
The approach
- ▹Built 12 production systems from scratch: LLM serving with vLLM behind a stable API, a multi-tier real-time crisis-detection cascade, WHO/NICE-aligned clinical note generation, multilingual semantic search, and LLM intent routing, with adversarial safety evaluation and permanent regression harnesses.
The impact
- ✓>99% of traffic resolved in <100 ms
- ✓~99.7% crisis-detection accuracy
- ✓5.4× cheaper than external APIs
Stack
vLLMFastAPIPyTorchSentence-TransformersDockerAWS
Want to see it working?
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